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About this book
This solutions-oriented reference provides a sound theoretical foundation as well as practical tools for the effective, efficient analysis of multivariate data-employing case studies and MINITAB computer macros throughout to illustrate basic and advanced quality control methods.
Contents
Quality control with multivariate data; the multivariate normal distribution in quality control; quality control with externally assigned targets; quality control with internal targets - multivariate process capability studies; quality control withtargets from a reference sample; analyzing data with multivariate control charts; detection of out-of-control characteristics; the statistical tolerance regions approach; multivariate quality control with units in batches; applications of principalcomponents; additional graphical techniques for multivariate quality control; implementing multivariate quality control; appendix 1 - MINITAB macros for multivariate quality control; appendix 2 - the data from case studies; appendix 3 - review ofmatrix algebra for statistics with MINIATB computations.
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